Data Governance for Emerging Technologies: A Conceptual Framework for Managing Blockchain, IoT, and AI DOI Open Access

Iveren M. Leghemo,

Chima Azubuike,

Osinachi Deborah Segun-Falade

и другие.

Journal of Engineering Research and Reports, Год журнала: 2025, Номер 27(1), С. 247 - 267

Опубликована: Янв. 18, 2025

As emerging technologies such as Blockchain, the Internet of Things (IoT), and Artificial Intelligence (AI) continue to reshape industries, need for robust data governance frameworks has become increasingly critical. These introduce unique challenges, including privacy concerns, security vulnerabilities, complexity managing vast, decentralized sets. This paper proposes a conceptual framework tailored specific requirements IoT, AI technologies. The emphasizes holistic approach, integrating key principles transparency, accountability, compliance with regulatory standards. It also highlights importance fostering collaboration between stakeholders, technologists, legal experts, policymakers, create cohesive structure that can adapt rapid evolution these proposed addresses three core areas: integrity quality, privacy, ethical considerations. For focus is on ensuring immutability transparency records while safeguarding against potential misuse data. In context prioritizes management from diverse sources, interoperability protecting sensitive information unauthorized access. AI, emphasis developing guidelines usage, preventing bias in algorithmic decision-making, maintaining AI-driven processes. advocates integration advanced analytics machine learning techniques enhance capabilities, enabling real-time monitoring predictive insights. Additionally, it underscores continuous training education all stakeholders keep pace dynamic nature By adopting this comprehensive framework, organizations mitigate risks, ensure compliance, harness full public trust.

Язык: Английский

Data Governance for Emerging Technologies: A Conceptual Framework for Managing Blockchain, IoT, and AI DOI Open Access

Iveren M. Leghemo,

Chima Azubuike,

Osinachi Deborah Segun-Falade

и другие.

Journal of Engineering Research and Reports, Год журнала: 2025, Номер 27(1), С. 247 - 267

Опубликована: Янв. 18, 2025

As emerging technologies such as Blockchain, the Internet of Things (IoT), and Artificial Intelligence (AI) continue to reshape industries, need for robust data governance frameworks has become increasingly critical. These introduce unique challenges, including privacy concerns, security vulnerabilities, complexity managing vast, decentralized sets. This paper proposes a conceptual framework tailored specific requirements IoT, AI technologies. The emphasizes holistic approach, integrating key principles transparency, accountability, compliance with regulatory standards. It also highlights importance fostering collaboration between stakeholders, technologists, legal experts, policymakers, create cohesive structure that can adapt rapid evolution these proposed addresses three core areas: integrity quality, privacy, ethical considerations. For focus is on ensuring immutability transparency records while safeguarding against potential misuse data. In context prioritizes management from diverse sources, interoperability protecting sensitive information unauthorized access. AI, emphasis developing guidelines usage, preventing bias in algorithmic decision-making, maintaining AI-driven processes. advocates integration advanced analytics machine learning techniques enhance capabilities, enabling real-time monitoring predictive insights. Additionally, it underscores continuous training education all stakeholders keep pace dynamic nature By adopting this comprehensive framework, organizations mitigate risks, ensure compliance, harness full public trust.

Язык: Английский

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